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Long Covid stigma: Estimating burden and validating scale in a UK-based sample

BACKGROUND: Stigma can be experienced as perceived or actual disqualification from social and institutional acceptance on the basis of one or more physical, behavioural or other attributes deemed to be undesirable. Long Covid is a predominantly multisystem condition that occurs in people with a hist...

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Autores principales: Pantelic, Marija, Ziauddeen, Nida, Boyes, Mark, O’Hara, Margaret E., Hastie, Claire, Alwan, Nisreen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683629/
https://www.ncbi.nlm.nih.gov/pubmed/36417364
http://dx.doi.org/10.1371/journal.pone.0277317
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author Pantelic, Marija
Ziauddeen, Nida
Boyes, Mark
O’Hara, Margaret E.
Hastie, Claire
Alwan, Nisreen A.
author_facet Pantelic, Marija
Ziauddeen, Nida
Boyes, Mark
O’Hara, Margaret E.
Hastie, Claire
Alwan, Nisreen A.
author_sort Pantelic, Marija
collection PubMed
description BACKGROUND: Stigma can be experienced as perceived or actual disqualification from social and institutional acceptance on the basis of one or more physical, behavioural or other attributes deemed to be undesirable. Long Covid is a predominantly multisystem condition that occurs in people with a history of SARSCoV2 infection, often resulting in functional disability. This study aimed to develop and validate a Long Covid Stigma Scale (LCSS); and to quantify the burden of Long Covid stigma. METHODS: Data from the follow-up of a co-produced community-based Long Covid online survey using convenience non-probability sampling was used. Thirteen questions on stigma were designed to develop the LCSS capturing three domains–enacted (overt experiences of discrimination), internalised (internalising negative associations with Long Covid and accepting them as self-applicable) and anticipated (expectation of bias/poor treatment by others) stigma. Confirmatory factor analysis tested whether LCSS consisted of the three hypothesised domains. Model fit was assessed and prevalence was calculated. RESULTS: 966 UK-based participants responded (888 for stigma questions), with mean age 48 years (SD: 10.7) and 85% female. Factor loadings for enacted stigma were 0.70–0.86, internalised 0.75–0.84, anticipated 0.58–0.87, and model fit was good. The prevalence of experiencing stigma at least ‘sometimes’ and ‘often/always’ was 95% and 76% respectively. Anticipated and internalised stigma were more frequently experienced than enacted stigma. Those who reported having a clinical diagnosis of Long Covid had higher stigma prevalence than those without. CONCLUSION: This study establishes a scale to measure Long Covid stigma and highlights common experiences of stigma in people living with Long Covid.
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spelling pubmed-96836292022-11-24 Long Covid stigma: Estimating burden and validating scale in a UK-based sample Pantelic, Marija Ziauddeen, Nida Boyes, Mark O’Hara, Margaret E. Hastie, Claire Alwan, Nisreen A. PLoS One Research Article BACKGROUND: Stigma can be experienced as perceived or actual disqualification from social and institutional acceptance on the basis of one or more physical, behavioural or other attributes deemed to be undesirable. Long Covid is a predominantly multisystem condition that occurs in people with a history of SARSCoV2 infection, often resulting in functional disability. This study aimed to develop and validate a Long Covid Stigma Scale (LCSS); and to quantify the burden of Long Covid stigma. METHODS: Data from the follow-up of a co-produced community-based Long Covid online survey using convenience non-probability sampling was used. Thirteen questions on stigma were designed to develop the LCSS capturing three domains–enacted (overt experiences of discrimination), internalised (internalising negative associations with Long Covid and accepting them as self-applicable) and anticipated (expectation of bias/poor treatment by others) stigma. Confirmatory factor analysis tested whether LCSS consisted of the three hypothesised domains. Model fit was assessed and prevalence was calculated. RESULTS: 966 UK-based participants responded (888 for stigma questions), with mean age 48 years (SD: 10.7) and 85% female. Factor loadings for enacted stigma were 0.70–0.86, internalised 0.75–0.84, anticipated 0.58–0.87, and model fit was good. The prevalence of experiencing stigma at least ‘sometimes’ and ‘often/always’ was 95% and 76% respectively. Anticipated and internalised stigma were more frequently experienced than enacted stigma. Those who reported having a clinical diagnosis of Long Covid had higher stigma prevalence than those without. CONCLUSION: This study establishes a scale to measure Long Covid stigma and highlights common experiences of stigma in people living with Long Covid. Public Library of Science 2022-11-23 /pmc/articles/PMC9683629/ /pubmed/36417364 http://dx.doi.org/10.1371/journal.pone.0277317 Text en © 2022 Pantelic et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pantelic, Marija
Ziauddeen, Nida
Boyes, Mark
O’Hara, Margaret E.
Hastie, Claire
Alwan, Nisreen A.
Long Covid stigma: Estimating burden and validating scale in a UK-based sample
title Long Covid stigma: Estimating burden and validating scale in a UK-based sample
title_full Long Covid stigma: Estimating burden and validating scale in a UK-based sample
title_fullStr Long Covid stigma: Estimating burden and validating scale in a UK-based sample
title_full_unstemmed Long Covid stigma: Estimating burden and validating scale in a UK-based sample
title_short Long Covid stigma: Estimating burden and validating scale in a UK-based sample
title_sort long covid stigma: estimating burden and validating scale in a uk-based sample
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683629/
https://www.ncbi.nlm.nih.gov/pubmed/36417364
http://dx.doi.org/10.1371/journal.pone.0277317
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